Problem: How can we understand the complexity of nutritional information? Do any of these variables correlate?

We want to be able to:

• Assess nutritional value of different food groups
• Observe how different nutrients relate to each other
• Make predictions based on this information

data <- read.csv("Nutrition/data/nutritionClean.csv")[,c(-1,-2)]
head(names(data),30)

##  [1] "Shrt_Desc"           "Water_.g."           "Energ_Kcal"         
##  [4] "Protein_.g."         "Lipid_Tot_.g."       "Ash_.g."            
##  [7] "Carbohydrt_.g."      "Fiber_TD_.g."        "Sugar_Tot_.g."      
## [10] "Calcium_.mg."        "Iron_.mg."           "Magnesium_.mg."     
## [13] "Phosphorus_.mg."     "Potassium_.mg."      "Sodium_.mg."        
## [16] "Zinc_.mg."           "Copper_mg."          "Manganese_.mg."     
## [19] "Selenium_.Ã.µg."    "Vit_C_.mg."          "Thiamin_.mg."       
## [22] "Riboflavin_.mg."     "Niacin_.mg."         "Panto_Acid_mg."     
## [25] "Vit_B6_.mg."         "Folate_Tot_.Ã.µg."  "Folic_Acid_.Ã.µg." 
## [28] "Food_Folate_.Ã.µg." "Folate_DFE_.Ã.µg."  "Choline_Tot_..mg."

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